Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 536 in Layer 0

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Text #0

Max Range: 0.0476. Min Range: -0.0476

Max Act: 0.0476. Min Act: -0.0002

Data Index: 838426 (C4 (Web Text))

Max Activating Token Index: 554

Text #1

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Max Act: 0.0376. Min Act: -0.0002

Data Index: 529481 (C4 (Web Text))

Max Activating Token Index: 229

Text #2

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Max Act: 0.0363. Min Act: -0.0003

Data Index: 1154743 (C4 (Web Text))

Max Activating Token Index: 199

Text #3

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 978418 (C4 (Web Text))

Max Activating Token Index: 577

Text #4

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Data Index: 1247951 (C4 (Web Text))

Max Activating Token Index: 644

Text #5

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Max Act: 0.0317. Min Act: -0.0001

Data Index: 866683 (C4 (Web Text))

Max Activating Token Index: 290

Text #6

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Data Index: 327820 (C4 (Web Text))

Max Activating Token Index: 563

Text #7

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Data Index: 1142461 (C4 (Web Text))

Max Activating Token Index: 192

Text #8

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Data Index: 1353331 (C4 (Web Text))

Max Activating Token Index: 490

Text #9

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Data Index: 1447105 (Python Code)

Max Activating Token Index: 136

Text #10

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Data Index: 543020 (C4 (Web Text))

Max Activating Token Index: 748

Text #11

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Data Index: 523634 (C4 (Web Text))

Max Activating Token Index: 706

Text #12

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Data Index: 167388 (C4 (Web Text))

Max Activating Token Index: 398

Text #13

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Max Act: 0.0279. Min Act: -0.0003

Data Index: 188914 (C4 (Web Text))

Max Activating Token Index: 281

Text #14

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Data Index: 164678 (C4 (Web Text))

Max Activating Token Index: 220

Text #15

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Max Activating Token Index: 410

Text #16

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Max Activating Token Index: 866

Text #17

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Max Activating Token Index: 143

Text #18

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Max Act: 0.0269. Min Act: -0.0002

Data Index: 265300 (C4 (Web Text))

Max Activating Token Index: 517

Text #19

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1454180 (Python Code)

Max Activating Token Index: 716